{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ada921c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy\n",
    "import pandas\n",
    "import matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a933c491",
   "metadata": {},
   "source": [
    "# pandas绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "eecdd258",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 直方图\n",
    "s = pandas.Series([1,2,2,2,2,2,3,3,4,4,4,4,5,5,5,6,6,6,6,6])\n",
    "s.plot(kind='hist',bins=6,density=True) # bins分成几组，density把频数换成概率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e58f53c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Density'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kzHmIEI5TyeEu0l7OGv7sM+qw1whhi9GIFE8TUjxNyKBaGecXKTslKkC7d+8mIiKitLOIiMhlqMNxOjq3EencQSvHXlo69xDsOHPJ55wyAjlBNbKMSuTiwo0LJx6qOc5SnTNU5yyVHdk0c+ynGfvpyXcAeAwHm4zGfO6OZLmnIzuNK8vjLYqUmhIVoCZNmtC9e3eGDRvGnXfeSWBgYGnnEhGR3xHmOEgX5xY6ObfRwbGNRs6DBbbJNlzsMBqw3WjAXiOEvZ4Q9hohHDBqcZzqZOF/ydfwI5f6jqOEOQ5xleMAbZ27aOf4L42daUQ6/kuk87/8hQ9J9jRlgbsH/3F34Sz6nSDer0QFaPPmzbzzzjs8+uijPPTQQ8TFxTFs2DA6depU2vlEROQXVThHtPMnrnN+T3fn9wUKj8dw8LMRxgZPM34wrmKLJ5wdRgNyLuNsh1z8SDVCSDVCWEMb+OWoWQjHuNGVwk3OZLo7vyfKuYMo5w4e91vA27l9ec/dk9NUvpy3K1KmHIZhGCV9cm5uLp988glz585l2bJlNG3alGHDhjFo0CDq1KlTmjnLVWZmJsHBwWRkZBAUFGR1HJEi8dYriPa8cLPVEQrw1q9VYSIcafR0buR652Y6OLfh/6vzdnIMFylGE771NGej52qSPc04SZVyz1iH49zhWs0fXV8Q5jwMwHGjGtNy7+B99024cZX6a3rj95VYrzi/vy+rAJ2XlZXF9OnTGT9+PNnZ2VSqVIm4uDimTJlCvXr1Lnf35U4FSHyRt/5S98ZfVN76tTIZtHbsppdrI72cG2jm3J/vs6meOqz0tGWlpy1JnpZeNcriwk0/51pG+S2msTMNgK2eMJ7KGcJGo3mpvpY3fl+J9Yrz+/uyrgLbuHEj77zzDgsWLKBq1ao89thjDBs2jAMHDjBx4kT69evHt99+ezkvISJS4Tnx0Mn5M72cG+jpSqaB40je53IMF0melnzhiWSl5xr2GKF46yXpblx85OnOx9nXcrfrS/7sl0ALZyr/DpjErNybmZo7kGwqWR1TBChhAXr55ZeZM2cO27Zto2/fvsybN4++ffvidJoTS0dERDBz5kyaNy/dxi8iUnEYtHPs5DbXOm5xfUNdx4m8z5wxAvja05bl7g585WlPJlWti1kCHpz8030TS92dGOe3gDi/r3nA71Oudf7IIzmj+K/RwOqIIiUrQDNmzOC+++5j6NChhIaGFrpNWFgYs2fPvqxwIiIVTVPH/7jNtY7bnOsIdx7KW3/CqEqiO4rlno6s9rT53auzfMFxgng89wESPVFMqTSLls69fOw/kbE5I0n0dLA6nthciQpQYmIiYWFheSM+5xmGwb59+wgLC8Pf35977723VEKKiPiyBo7D3OpM4jbXOlo4U/PWnzYCSPREscQdw2rPNZd1tZY3+9wTRe+sKbxa6Q1iXFuYWekVpuYOZLr7Nrz1cJ5UfCX6v61x48akpaVRt27dfOuPHTtGREQEbnfRZhcVEamoapNBX9c33OZKooNze976bMPFSk87lrij+dwTaZs5cw5zBYNzxjHReI/Bfon8pVICYY6DPJE7HI/uyy0WKFEButiFY6dOndKkiCJiW9U5Qy/XBm5zrqOr80dcDvNnpcdwkORpyRJPDMvcHcm06S0kcvFjYu5QthsNeMZvLn/w+5oqjizic/5EbgUd/RLvVazvuPj4eAAcDgcTJ06kSpUL80243W7Wr19Pu3btSjWgiIg3CyCbG5wp3OZaxw3OTQQ4cvI+t8nTmCXuGP7j7sIhaliY0ru87+7JMaM6r1Z6k9tcSVQmm1E5j+gKMSlXxSpAKSkpgDkC9MMPP+Dvf+EkPX9/f9q2bctjjz1WuglFRLyMCzfXOn/kNtc6Yp0bqe44m/e5HZ4rWeyO4RNPNHuNwi8SEVjq6cLZnADeqjSNnq5kXmY6j+Q8rMNhUm6KVYC++uorAIYOHcqrr76qSQJFxDaceOjo2MbNrm/o61pPbUdm3uf+Z9TmE3c0S9wxbDXC0Im9RfOVpz3Dcx5ldqUXucW1nkyjCk/kDkdfPykPJTroOmfOnNLOISLidfzJIcb5U94Ehb8uPUeN6nzq7sJidwzfGU0xNHJRIqs91zA65yHeqPQaf/T7ihNU5++5f7A6lthAkQvQ7bffzty5cwkKCuL222+/5LYfffTRZQcTEbFCLTLo5vyBHq5N3OBMyXd464RRlc89UXzijmatp5VO3C0lyzydeSJ3OFMq/YORfkvYbYTyL/f1VseSCq7I//cGBwfjcDjylkVEKoIAsmnr2El3l3mH9Wucu/N9/qBxBcvdHfnM05FvPc1VespIgrsHoRxjbKWFPOc3m12eeiQbV1sdSyqwIv+f/OvDXjoEJiIX48CDgQOvPY/j1CFucibTwbmdDs5ttHHsIsCRm2+TnzzhrPJcQ6I7ihSjiQ5vlZPX3ANo5tzHza5vmen/Cv2ynmU/dayOJRVUif6UOXv2LIZh5F0Gv3fvXhYtWkTLli2JjY0t1YAi4h2qcpY2zt00ceynqeN/NHQcppYjk9qODII5TSXc+JGLy2HgNhycJYBz+MMrV0BgEFSpBVVrm/9WqQ1Va11YrnJ+uSa4SuFSaHcuZO6HE3vh+F44/DMc/AkO/ginD/P2b+4ycdgIYq2nNavc17Dacw2HueLyM0ixGTh5LGcE4Y5DtHbu4S3/V7gj+xldHi9lokQFqF+/ftx+++2MGDGCEydO0KlTJ/z9/Tly5Agvv/wyf/rTn0o7p4iUO4P2jv/Sy7WBLs4ttHbswc/hKdIzXQ6DapyjGucgIxMyivGyAcFmETpfigKqgSsA/H55uPwBwyw57mzw5MC5TDh7DM4cN/89mQ7GxWakd7DDU5+NnmZs9FzNRqMZe40QvHbEymbOEsj92Y/yacB42jj3MN7vA57J1W2VpPSVqAB99913vPLKKwD8+9//JjQ0lJSUFBYuXMjEiRNVgER82JUc5h6/z7nNtY4rHUfzfe5/Rm22esLYaVzJHiOEw0YwR4xgjlOdHMOPXFzk4sQPD4GOLCqTzYpRHeDcCTh9FM4chTNH4PQRc/n0kV+Ky1E4cwwwICvDfBzfXWi+InP5wxVhcEU41GoMIa0htDXUaUHPiV9d3r6lTKVRi/icPzHX/0WG+i3nG08Llns6WR1LKpgSFaAzZ85QvXp1AFasWMHtt9+O0+mkS5cu7N27t1QDikj5uMaxkxF+n9DLuSHvFg6njEC+8ETylbsd33qac4DaRd/h+TvmNCjiXb89bjiX8UsZ+tUj+wzknjNHe3LPQW4WOBxmwXFWApcfBARB5ZpQpYb5b/VQqBYKTp2746u+9rTnrdxbGOH3H16sNIufsiP4n6HzgaT0lKgANWnShI8//pgBAwawfPlyxo4dC8ChQ4c0OaKIj2nkSOMxvw+5xbU+b90adyved/fkK087svC/xLNLkdP1y6GvmkDT8nlN8WpTcwfS0bmNKOcOplZ6i7uzJ+iEdCk1JfpOmjhxIo899hiNGjWic+fOREdHA+ZoUPv27Us1oIiUjQCyecwvgUT/v3CLaz0ew8FC97XEZk3hnpwJfObpVH7lR6QQufgxJmckp40Auji3MsS13OpIUoGUaATozjvv5NprryUtLY22bdvmrb/xxhsZMGBAqYUTkbLR3rGDv1eaRVPnfgC+crdlSu7d/GyEWZxMJL99RgjP5d7D85Vm87jfAlZ62rLLqG91LKkASjyjV2hoKKGh+W/016mTTlIT8W4GI1yf8Ge/BFwOg0PGFTyVM5Tlno5WBxO5qA/cN9Db+S3dXT/wcqUZ3J79jNWRpAIoUQE6ffo0L7zwAl988QWHDh3C48l/aeyuXbtKJZyIlJ4gTjO10lvEupIBWOTuytM595JBNYuTifweB3/JeYAVzsdp59zJYNcK4FarQ4mPK1EBGj58OCtXrmTQoEHUq1cv7xYZIuKdGjgO826lF2jsTCPLqMTE3CEkuK9Hc9+Ir0inFi/k3s3zlWbzqN+/IHM8BOlQmJRciQrQsmXL+PTTT+natetlB5g+fTovvvgiaWlptGrVimnTptGtW7dCt01LS+PRRx8lOTmZHTt28MgjjzBt2rR828ydO5ehQ4cWeO7Zs2cJDAy87LwivqalYw9z/f9OXccJ9hu1eDB7LD8aV1kdS6TY5rt7cIdrFVHOHbDscYh7z+pI4sNKdBVYjRo1qFmz5mW/eEJCAmPGjGHChAmkpKTQrVs3+vTpQ2pqaqHbZ2VlUadOHSZMmJDv5OvfCgoKIi0tLd9D5UfsqLNjKwn+z1LXcYKtnobcnvWMyo/4LAMnE3KGkWs4YesS2K6rwqTkSlSAnn32WSZOnMiZM2cu68Vffvllhg0bxvDhw2nRogXTpk2jYcOGzJgxo9DtGzVqxKuvvsrgwYMveUd6h8ORd5J2YSdri9hBB8fPvOP/d6o7zvKNpwVx2RM5yOX/4SJipZ+NMN529zU/+PQxyD5tbSDxWSU6BPbSSy+xc+dOQkJCaNSoEZUq5b9R3Xffffe7+8jOziY5OZlx48blWx8bG8u6detKEivPqVOnCA8Px+12065dO5599tlLzk+UlZVFVlZW3seZmZmX9foiVot0bGeu/9+p6shilbsN9+c8qjl9pMJ4Nfd2RtT6HjJSYe1r0GO81ZHEB5WoAPXv3/+yX/jIkSO43W5CQkLyrQ8JCSE9Pb3E+23evDlz586lTZs2ZGZm8uqrr9K1a1c2b95M06aFzy47efJknnlGl1VKxWCe8zOFao5zrHW3UvmRCucsgdDrb/DhYFj7KkQOguAGVscSH1OiAvTXv/611AL89goywzAu66qyLl260KVLl7yPu3btSmRkJK+//jqvvfZaoc8ZP3488fHxeR9nZmbSsGHDEmcQsUo9jvKO/4sEOc6y3tOc4So/UlG1uA3Cu8LetfD503DH21YnEh9T4puqnDhxgrfffpvx48dz7NgxwDz0tX///iI9v3bt2rhcrgKjPYcOHSowKnQ5nE4nHTt2ZMeOHRfdJiAggKCgoHwPEV9TnTPM8f87oY7jbPM04P7sR82/lEUqIocDej0POOCHf8G+b61OJD6mRAXo+++/p1mzZkyZMoWpU6dy4sQJABYtWsT48UU7Fuvv709UVBSJiYn51icmJhITE1OSWIUyDINNmzZRr169UtuniNdx5zK90jSaO/dx0LiCodl/IZOqVqcSKVv120H7/zOXPxsPv5mUV+RSSlSA4uPjGTJkCDt27Mh3eXmfPn1YtWpVsfbz9ttv884777B161bGjh1LamoqI0aMAMxDU4MHD873nE2bNrFp0yZOnTrF4cOH2bRpE1u2bMn7/DPPPMPy5cvZtWsXmzZtYtiwYWzatClvnyIV0hdP0831I6eNAO7L/jMHqG11IpHyccNT4F8N9m+EHxdanUZ8SInOAdqwYQMzZ84ssP7KK68s1gnMcXFxHD16lEmTJpGWlkbr1q1ZunQp4eHhgDnx4W/nBPr11VzJycl88MEHhIeHs2fPHsA8NPfAAw+Qnp5OcHAw7du3Z9WqVbpPmVRcPy2Cda8D8FjOCH4yIiwOJFKOqofCtWPgy7/BV3+Dlv3AT+e9ye8rUQEKDAws9FLxbdu2UadOnWLta+TIkYwcObLQz82dO7fAOsMwLrm/V155hVdeeaVYGUR81qGt8PEoAN7KvZVlns4WBxKxQJeRsH4WHN8DKfOg43CrE4kPKNEhsH79+jFp0iRycnIA80qu1NRUxo0bxx133FGqAUXkIrLPwIf3Qs5piOjOi7kDrU4kYg3/qtD9z+byyr+b/2+I/I4SFaCpU6dy+PBh6taty9mzZ7nuuuto0qQJ1atX57nnnivtjCJSmBVPwpFtUC0E7pyDG5fViUSsEzUErgiDUwdh/VtWpxEfUKJDYEFBQaxZs4avvvqK5ORkPB4PkZGR3HTTTaWdT0QK8/NS2DjbXB7wFlTVSc9ic37+0GMCLHoQ1k6DDkOhcg2rU4kXK3YB8ng8zJ07l48++og9e/bgcDiIiIggNDT0sicxFJEiOJkOSx4yl6MfgsY3WJtHxFu0uQvWTIPDW80LA26caHUi8WLFOgRmGAa33XYbw4cPZ//+/bRp04ZWrVqxd+9ehgwZwoABA8oqp4gAGAZ8PBLOHIXQNvoBL/JrThfc8KS5vH4mnDlmbR7xasUaAZo7dy6rVq3iiy++oEePHvk+9+WXX9K/f3/mzZtXYO4eESklKe/Dzi/ALxDumA1+AVYnEvEuzW+GkDZw8Af4ZvqFQiTyG8UaAZo/fz5PPPFEgfIDcMMNNzBu3Dj++c9/llo4EfmVzDRYPsFcvn481Lna2jwi3sjhgOv+Yi6vnwlnj1ubR7xWsQrQ999/T+/evS/6+T59+rB58+bLDiUiv2EY8OmjkJUB9dub5/6ISOGa3wJ1W0JWJnyjK8KkcMUqQMeOHbvkjUpDQkI4flxtW6TU/fQRbPsUnJWg35vgKtEFnCL24HReGAX6Zgacy7A2j3ilYhUgt9uNn9/Ff/C6XC5yc3MvO5SI/MqZY7D0lx/m3R6FkFbW5hHxBS36QZ3m5qjp+oK3bhIp1p+RhmEwZMgQAgIKP/EyKyurVEKJyK98+Tc4c8T8Yd7tUavTiPgGp9OcHXrhMEh6EzqPgMAgq1OJFylWAbr33nt/dxtdASZSig6kwMZ3zOW+U3WTR5HiaDUAvn4Bju6A5LnQ9RGrE4kXKVYBmjNnTlnlEJHf8njg08cAA1rfCRHdrE4k4lucLug62pw49Jvp5iiQ/oiQX5ToXmAiUg42vQ/7N4J/NYj9m9VpRHzTNQOhej04mQY/fGh1GvEiKkAi3ujMMUj8q7l8/XgIqmdtHhFf5RcAXUaay2tfNUdWRVABEvFOXz0PZ49BnRbQ+UGr04j4tqghEBAMR7bD9s+sTiNeQgVIxNsc3varE5//Dq5K1uYR8XWBQdDxPnN57TRLo4j3UAES8TaJE8Fww9V9IaK71WlEKobOI8DlD/vWQ+o3VqcRL6ACJOJNdq00h+idftBzktVpRCqO6qHQ9m5zec00S6OId1ABEvEWHjes+OVmpx3ug9pNrc0jUtHEPAI4YPsyOPSz1WnEYipAIt5i8wJI/8E8WfO6cVanEal4ajeB5jeby+tnWJtFLKcCJOINss/Al8+ay90fhaq1rM0jUlFFjzL/3bzAnG5CbEsFSMQbrH/LnKjtijDopMveRcpMWDTUawu55y5cbSm2pAIkYrWzJy5cmtvjSagUaGUakYrN4bgwMeKGtyE329o8YhkVIBGrrXsNzmWYkx62udPqNCIVX6vboVqIOeq6ZbHVacQiKkAiVjp1CL755WTMG540b94oImXLzx863m8uf/MmGIa1ecQSKkAiVlr9EuScgSujLlydIiJlr8NQcAXAgRRzckSxHRUgEaucSL1wEuaNE81zE0SkfFStbd4pHuCb6dZmEUv4WR1AxLa+ngLubPN2F1ddb3WaMtNo3KdWRxApXJc/Qcp7sPUT8w+SK8KsTiTlSCNAIlY4vB02f2Au3/hXa7OI2FVIK4i4DgwPrJ9pdRopZypAIlZY9Xfzh+7VfaFBB6vTiNjX+UviU94zJyQV21ABEilvR3bAjwvN5esetzaLiN017Qk1GplTUfzwL6vTSDlSARIpb6teNEd/mvWB+u2sTiNib04XdBhmLn/7D10SbyMqQCLl6ch/L/yVeb1Gf0S8Qvt7wC8QDv6gS+JtRAVIpDytnvrL6E9vqN/e6jQiAlCl5oVZ2L/9h7VZpNyoAImUl6M74fsPzWWd+yPiXc7PDL1lMZw8aG0WKRcqQCLlZdVUMNzQNBaujLQ6jYj8Wv120KATeHLgu3etTiPlQAVIpDwc2wXfJ5jL142zNouIFK7TL6NAG+eAO8faLFLmVIBEysOql8zRnyY3QYMoq9OISGFa9oMqteHkAfhZM5hXdCpAImXt+B7YPN9c1uiPiPfyC4CoIebyhrctjSJlTwVIpKytfdUc/Wl8AzTsaHUaEbmUDkPB4YQ9q+HQVqvTSBlSARIpSyfTIeWf5nK3R63NIiK/L7gBNL/ZXNYl8RWaCpBIWUp6E9xZ0LAzhHe1Oo2IFMX5S+K/T4BzmdZmkTKjAiRSVs4eh43vmMvXxoPDYW0eESmaiO5Q+2rIPgWbF1idRsqICpBIWfn2bfMHaN1W0KyX1WlEpKgcjguXxG94W/cHq6BUgETKQvYZWD/DXL52rEZ/RHzNNXHgXw2ObDNPiJYKRwVIpCx8Nw/OHIUajaDVAKvTiEhxBQaZJQh0SXwFpQIkUtpys2Hda+Zy19Hg8rM2j4iUTMdh5r9b/wOZadZmkVJneQGaPn06ERERBAYGEhUVxerVFx9qTEtL449//CNXX301TqeTMWPGFLrdwoULadmyJQEBAbRs2ZJFixaVUXqRQvzwIWTuh2oh0PaPVqcRkZIKaQVhMeY8Xro/WIVjaQFKSEhgzJgxTJgwgZSUFLp160afPn1ITU0tdPusrCzq1KnDhAkTaNu2baHbJCUlERcXx6BBg9i8eTODBg1i4MCBrF+/vizfiojJ44Y108zl6FFQKdDSOCJymc6PAiXP1f3BKhiHYVh3envnzp2JjIxkxowZeetatGhB//79mTx58iWfe/3119OuXTumTZuWb31cXByZmZksW7Ysb13v3r2pUaMG8+fPL1KuzMxMgoODycjIICgoqOhvSGTLYvhwMAQGw9ifIKB6ub10o3G6d5HYx54Xbi6fF8rNhldawelDcNe70Kp/+byulEhxfn9bNgKUnZ1NcnIysbGx+dbHxsaybt26Eu83KSmpwD579ep1yX1mZWWRmZmZ7yFSbIYBq18ylzs9WK7lR0TKiJ8/RN1rLutk6ArFsgJ05MgR3G43ISEh+daHhISQnp5e4v2mp6cXe5+TJ08mODg479GwYcMSv77Y2M4vIW0zVKoCnUdYnUZESkvUkAv3Bzu8zeo0UkosPwna8Zv5UQzDKLCurPc5fvx4MjIy8h779u27rNcXm1rzivlv5L1QtZa1WUSk9AQ3gKv7mssbZlubRUqNZQWodu3auFyuAiMzhw4dKjCCUxyhoaHF3mdAQABBQUH5HiLFsu9b869DZyWIecjqNCJS2s6fDL15PmSdsjaLlArLCpC/vz9RUVEkJibmW5+YmEhMTEyJ9xsdHV1gnytWrLisfYr8rtUvm/+2jTP/WhSRiiXieqjZGLIyzakuxOdZOkNbfHw8gwYNokOHDkRHRzNr1ixSU1MZMcI8f2L8+PHs37+fefPm5T1n06ZNAJw6dYrDhw+zadMm/P39admyJQCjR4+me/fuTJkyhX79+rF48WI+//xz1qxZU+7vT2zi4BbYvgxwQNcxVqcRkbLgdJqjQMufMA+DRQ3VLW58nKUFKC4ujqNHjzJp0iTS0tJo3bo1S5cuJTw8HDAnPvztnEDt27fPW05OTuaDDz4gPDycPXv2ABATE8OCBQt48skneeqpp2jcuDEJCQl07ty53N6X2Mz5c39a3ga1m1qbRUTKTrs/whfPwsEfYd96COtidSK5DJbOA+StNA+QFNnxPfBapDlT7AMroX47y6JoHiCxk3KbB+i3Fj8EKe9Bm7vgDl0W7218Yh4gkQph7Wtm+Wl8o6XlR0TKScfh5r8/fQynDlsaRS6PCpBISZ08CCnvm8vd4q3NIiLlo347uLIDeHIgZd7vbi7eSwVIpKS+eRPcWdCgE4R3tTqNiJSX86NAG+eY9/8Tn6QCJFISZ0/AhnfM5W7xuhpExE5aDYDKNSFjH2xfbnUaKSEVIJGS2PAPyD4JdVtC015WpxGR8lQpECIHmcu6P5jPUgESKa7sM/DNDHP52rHm/CAiYi9RQwEH7PwCju60Oo2UgH5yixRXyntw5ihcEQ6tbrc6jYhYoWYENO1pLm98x9osUiIqQCLF4c6Bda+by10fAZelc4mKiJXOnwyd8j7knLU2ixSbCpBIcfzwL/PEx6p1od09VqcRESs1uQmuCINzJ+DHhVankWJSARIpKo8H1kwzl6NHmSdCioh9OV3Q4T5zWSdD+xwVIJGi2vYpHNkGgcEXfuiJiL21HwyuADiQAvuTrU4jxaACJFIUhgGrXzaXO94PgbpHnIgAVWuZ8wKBeZd48RkqQCJFsXslHPgO/CpDlz9ZnUZEvMn5k6F/XAhnjlmbRYpMBUikKM6P/kQOhqq1rc0iIt6lQQcIvQZyz124P6B4PRUgkd+zP9kcAXL6QczDVqcREW/jcPzq/mCzzQsmxOupAIn8nvOjP20GwhUNrc0iIt6pzZ0QEAzH98DOL61OI0WgAiRyKYe3wc//ARxw7Rir04iIt/KvCu3/z1zWJfE+QQVI5FLOz/vT/Gaoc7WlUUTEy52fHmP7Z3B8r7VZ5HepAIlczIl98MOH5nK3eGuziIj3q90UrroeMCB5rsVh5PeoAIlczNpp4MmFiOvgyiir04iILzh/MvR38yA3y9osckkqQCKFyTxg/gADuO4v1mYREd/RrA9Urw9njsCWxVankUtQARIpzNrXwJ0NYTHQ6Fqr04iIr3D5QYeh5rJOhvZqKkAiv3XyICTPMZev+7O1WUTE90Tea84btm89pH1vdRq5CBUgkd9Ket2c0bVBR7iqh9VpRMTXVA+BFreZyxt1fzBvpQIk8munj1y4oWH3v5gzvIqIFNf5k6G//xDOnrA0ihROBUjk15LehJwzUK8dNO1pdRoR8VXhMVCnhfnzZPMCq9NIIVSARM47cwy+nWUuX6fRHxG5DA4HdBxmLm/4h+4P5oVUgETOW/8WZJ+CkNZwdV+r04iIr2v7B/P+YEf/CztWWJ1GfkMFSATgXAZ885a53P3PGv0RkcsXUB2i7jWXk96wNosUoAIkArB+FmRlQJ3mF67eEBG5XJ0fBIcL9qyGtM1Wp5FfUQESOXvCvPQdoNtj4NT/FiJSSoIbQKsB5nLSdGuzSD76SS/yzXTzEFid5tD6dqvTiEhFEz3K/PfHf5u32RGvoAIk9nbm2IW/yq4fD06XtXlEpOK5MtK8rY4nF779h9Vp5BcqQGJv616D7JMQ0kbn/ohI2Tk/CrTxHcg+bW0WAVSAxM5OHYL1M83lHk/o3B8RKTtX94EaEXDuBGz6wOo0ggqQ2NmaaeYsrfUjzR9OIiJlxemCLiPN5W+ma2JEL6ACJPaUeeDCTQpvmKB5f0Sk7LX7IwQGw7FdsP0zq9PYngqQ2NPql8w7vodFQ+MbrU4jInYQUA2ihprL616zNouoAIkNnUiF5HfN5R4a/RGRctT5QXD5Q2oSpH5jdRpbUwES+/nqefDkQER3iOhmdRoRsZOg+uY9wgDWvGJtFpvzszqASLlK/wE2LzCXb3qmxLtpNO7TUgokIrbTdQykvG+eB3TwJwhpZXUiW9IIkNjL588ABrS63ZycTESkvNVqDC37mcsaBbKMCpDYx+5V8N9EcPrBDU9anUZE7Ozasea/Py6EY7utzWJTKkBiD4YBiRPN5Q73mX+BiYhYpV5b8wpUw6MrwiyiAiT2sOVjOJAC/tWg+1+sTiMiAt3izX9T/gknD1qbxYZUgKTic+fAF5PM5ZiHoVoda/OIiACEd4UGncCdBd+8aXUa21EBkopvw2xz5tWqdSD6IavTiIiYHI4Lo0AbZsPpo9bmsRnLC9D06dOJiIggMDCQqKgoVq9efcntV65cSVRUFIGBgVx11VW89dZb+T4/d+5cHA5Hgce5c+fK8m2ItzpzDL6ebC73eMKciVVExFs06w2h10D2KUh63eo0tmJpAUpISGDMmDFMmDCBlJQUunXrRp8+fUhNTS10+927d9O3b1+6detGSkoKTzzxBI888ggLFy7Mt11QUBBpaWn5HoGBgeXxlsTbfPW8efflkNYQea/VaURE8nM44Prx5vL6WXD6iLV5bMTSAvTyyy8zbNgwhg8fTosWLZg2bRoNGzZkxowZhW7/1ltvERYWxrRp02jRogXDhw/nvvvuY+rUqfm2czgchIaG5nuIDR3aChvfMZd7Tzbvxiwi4m2u7gP12kHOaV0RVo4sK0DZ2dkkJycTGxubb31sbCzr1q0r9DlJSUkFtu/VqxcbN24kJycnb92pU6cIDw+nQYMG3HLLLaSkpJT+GxDvZhjw2Xgw3ND8FvO2FyIi3ujXo0Df/gNOHbY2j01YVoCOHDmC2+0mJCQk3/qQkBDS09MLfU56enqh2+fm5nLkiDls2Lx5c+bOncuSJUuYP38+gYGBdO3alR07dlw0S1ZWFpmZmfke4uO2fwa7vjJvOhj7N6vTiIhcWrNeUD8Scs7A2mlWp7EFy0+CdvzmTtyGYRRY93vb/3p9ly5duOeee2jbti3dunXjww8/pFmzZrz++sVPLps8eTLBwcF5j4YNG5b07Yg3yM2G5RPM5S4joWaEtXlERH7Pr0eBNszWvEDlwLICVLt2bVwuV4HRnkOHDhUY5TkvNDS00O39/PyoVatWoc9xOp107NjxkiNA48ePJyMjI++xb9++Yr4b8SrfTIdjO6FqXej+mNVpRESKpmlPuLID5J6Fta9anabCs6wA+fv7ExUVRWJiYr71iYmJxMTEFPqc6OjoAtuvWLGCDh06UKlSpUKfYxgGmzZtol69ehfNEhAQQFBQUL6H+KgT+2DlFHP5pqchoLqlcUREiszhgB7nR4Hehoz/WZungrP0EFh8fDxvv/0277zzDlu3bmXs2LGkpqYyYsQIwByZGTx4cN72I0aMYO/evcTHx7N161beeecdZs+ezWOPXfgr/5lnnmH58uXs2rWLTZs2MWzYMDZt2pS3T6ngPhtnHkMPi4F2f7Q6jYhI8TS+0Zwh2p1lTuMhZcbPyhePi4vj6NGjTJo0ibS0NFq3bs3SpUsJDw8HIC0tLd+cQBERESxdupSxY8fy5ptvUr9+fV577TXuuOOOvG1OnDjBAw88QHp6OsHBwbRv355Vq1bRqVOncn9/Us62fQY//8e82/vNL5l/TYmI+BKHA3pOgrdvhE0fQPQoCGlldaoKyWGcP4tY8mRmZhIcHExGRoYOh/mK7DMwvTOcSIWYRyD22TJ9uUbjPi3T/YvIpe154WarI5StDwfDlsXQtBf834dWp/EZxfn9bflVYCKlYvVUs/wENYDrHrc6jYjI5blhIjhcsGM57FljdZoKSQVIfN/Bn2DtL7On9nlB9/sSEd9XuwlEDTGXEyeak7tKqVIBEt/mzoXFo8CTA1f3NWd9FhGpCK57HCpVhf3J8NMiq9NUOCpA4tu+eRMOpEBAMNz8sk58FpGKo3oIxDxsLidONM91lFKjAiS+68h/L1wm2us5CLr4XE8iIj6p62jz3MaMfbpRailTARLf5PHAkocg9xxc1QPa32N1IhGR0udfBXr9cj/DNa+YF3tIqVABEt+04R+QmgT+1eC213ToS0Qqrpb9oVE38w++FU9anabCUAES33PoZ/N4OJi3u7gizNI4IiJlyuGAPlPA4TTnBtq10upEFYIKkPiW3Cz4aLj5l1DjG6HjcKsTiYiUvZBWF37eLXsc3DnW5qkAVIDEt3z5N0j/AarUgv7TdehLROzj+vFQuSYc3gpJb1idxuepAInv2L0K1r1uLt/6GlQPtTaPiEh5qlITev1y5evXL8DRndbm8XEqQOIbzhyDRSMAAyIHQwtNeCgiNtT2D3DV9eZpAP8ZqxmiL4MKkHg/jwcWPQiZ+6HmVdBrstWJRESs4XDALa+AX2XYvRI2z7c6kc9SARLvt+Zl2LEC/ALhrnd1ry8RsbeaV8H148zl5U/AqUPW5vFRKkDi3XathK+eM5f7ToV611ibR0TEG0SPgtA2cPY4fDJGh8JKQAVIvFdmGiwcBoYH2t0DkYOsTiQi4h1claD/W+CsBNs+hU3/tDqRz1EBEu+UmwX/GgKnD0NIa+j7otWJRES8S2hruGGCubxsHBzfa20eH6MCJN7HMMyrG/Z9Y97lfeA88344IiKSX8wjEBYN2Sfh4z+Bx211Ip+hAiTeJ+kNczjX4YS75kCtxlYnEhHxTk4X9J9h3hdx71pYO83qRD5DBUi8y/blsOIpc7nXZGhyo7V5RES8Xc0I815hYM6Wv2ettXl8hAqQeI8DKfDv+wADooZA5wetTiQi4hva/R9c8wfzopF/3wenDludyOupAIl3OLYL/nkXZJ+CiOvMS951ny8RkaJxOOCWl6FOcziVbt40WucDXZIKkFjv1CF4b4B5xVfoNRD3vnmJp4iIFJ1/VXOy2EpVYNfX8LVmzb8UFSCx1tkT8P4dcHwPXBEO//dvCAyyOpWIiG+q29y8VQbAqhfhx4XW5vFiKkBinXMZ8P7tkP49VKkNgxZB9RCrU4mI+La2f4Doh8zlj0fC/mRr83gpFSCxRtZJeP9O83/MyjVg8Me63F1EpLT0nARNe5l3jZ//R8g8YHUir6MCJOUv66R5wvP/voXAYBi82LynjYiIlA6nC+54G+q0ME+K/udA85QDyaMCJOXr9FF491ZITTJneR70MdRra3UqEZGKJzAI/rgAqtaFgz/A/Lsh56zVqbyGCpCUn4z/wZze5nw/lWuah72ujLQ6lYhIxVWjEdyzEAKCIHUd/GsouHOtTuUVVICkfBzeBu/0hiPbIehKuO8zlR8RkfJQ7xq4ewH4BcL2ZbB4pOYIQgVIysPOL+HtnpCxD2o1gfuWQ52rrU4lImIfjbrCXXPB4YLvE+CjB2w/EqQCJGXr23+YV3tlZUDDLmb5uaKh1alEROzn6j5mCXJWgh//Df8eCrnZVqeyjAqQlI2cc/DJGFj6GBhu8x419y6BqrWtTiYiYl8tb/tltn1/2LoEPhwE2WesTmUJFSApfcd2wzuxkDwHcMANT8GAt8AvwOpkIiJydW+4e/4v5wR9BnNvNm9JZDMqQFK6tiyBmddB2mbzSq//+zd0f0w3NhUR8SZNbjLnYKtcEw58B2/fCId+tjpVuVIBktJx9gR89KA5nJqVAQ06wYjV0PQmq5OJiEhhwrrA8M+h5lVwIhVmx8LPS61OVW5UgOTy/fcLmBED3y8AhxOujYehSyG4gdXJRETkUmo1hmGfQ1i0+cfrgrshcaItrhBTAZKSy0wzJ9V6/3bI3G/+FXHfcrjpr+CqZHU6EREpiqq1YPAS6DLS/HjtqzDvNjixz9pcZUwFSIrPnQtJ0+GNjvDTR+aoT+cRMGINNOxkdToRESkuP3/oPRnuehf8q8PetTA9Gr6bB4Zhdboy4Wd1APEhhgFbPoYv/wZH/2uuu7ID3PKy7uclIlIRtOpv3px60QjzhtVLHoYti+GWV+CKMKvTlSqNAMnvMwxzNudZ18O/hpjlp0otuPVVGJao8iMiUpHUamzerqjns+AKgP9+Dm90gq+nVKibqWoESC7O4zYnylr7qnkDUwD/ahDzMESPgoDq1uYTEZGy4XRB10egWS/4TzzsXQNfPw8p78ONE6H17eY2PkwFSAo6ewK+/xDWz4Bju8x1fpUhagh0exSq1bEynYiIlJc6V8OQ/8BPi2DFk5CRCh8Nh9VT4fpx0KIfOH3zYJIKkJgMA/ath+S55jd67jlzfeUa0OkB86HbWIiI2I/DYY74NOtlXgCT9Doc/tk8JaJ2M+j8ILS9G/yrWp20WFSA7Mww4OBPZuH5aREc23nhc3VbmSM+7f4IAdUsiygiIl7Cvypc92fodD+sfwuS3oQj2+HTR+GLSdB+EEQONkeNfIAKkN3kZpsjPTu/gK3/gaM7LnyuUhVodbtZfBp00O0rRESkoMpXmIe/uoyETf+E9TPh+G5IesN81GsHbf8Are+AanWtTntRKkAVncdtDlXuXQc7v4LdKyH71IXPuwKgaU9oNcAc3tSJzSIiUhSBQdDlT9DpQdixwrwB9n8/h7RN5uOz8eYf0816QbM+ENLKq/6wVgGqSAwDTqZB+o/mze32rYf/bYSszPzbVakNTW6EJj3Nb8zAIGvyioiI73M6zTvMX90bTh+BHz+C7xNg/0b43wbz8eXfoGodCI+B8GvNf+u2tPQEassL0PTp03nxxRdJS0ujVatWTJs2jW7dul10+5UrVxIfH89PP/1E/fr1+ctf/sKIESPybbNw4UKeeuopdu7cSePGjXnuuecYMGBAWb+V8uPOhYx95pDjsd3mMdiDP8HBH+Hs8YLb+1eDKyMh4jrzDsCh1/jsWfsiIuLFqtaGzg+Yj8wDsH05bP8Mdn0Npw+bkypuWWxuW7sZPLTBsqiWFqCEhATGjBnD9OnT6dq1KzNnzqRPnz5s2bKFsLCCM07u3r2bvn37cv/99/P++++zdu1aRo4cSZ06dbjjjjsASEpKIi4ujmeffZYBAwawaNEiBg4cyJo1a+jcuXN5v8Xiy82CUwfh5EE4lQ4n03/5ON2839ax3Wb58VzkRnUOl/lNVe8a87YUDTqZLdtledcVERE7CaoPHYaaj9ws2J9s3mJj7zpIXQ91mlsaz2EY1t3ko3PnzkRGRjJjxoy8dS1atKB///5Mnjy5wPaPP/44S5YsYevWrXnrRowYwebNm0lKSgIgLi6OzMxMli1blrdN7969qVGjBvPnzy9SrszMTIKDg8nIyCAoqBQPDx3fC5s+gHMn4FyGOd/Ob5dzzhRtX64AqNEIakZArSbmsdWQVuY3lF9A6WWWQjUa96nVEURsbc8LN1sdQS6HO8f83VfK06sU5/e3ZcMC2dnZJCcnM27cuHzrY2NjWbduXaHPSUpKIjY2Nt+6Xr16MXv2bHJycqhUqRJJSUmMHTu2wDbTpk27aJasrCyysrLyPs7IyADML2SpOrATVhQsdgU4K5lnzletC9VCoHpdqBoC1UPNe7FcEW4uF3YY60wWkFVwvZQqT1YRi6qIlIlS//ksFvCHUv7veP77oihjO5YVoCNHjuB2uwkJCcm3PiQkhPT09EKfk56eXuj2ubm5HDlyhHr16l10m4vtE2Dy5Mk888wzBdY3bNiwqG+nDBwDfrbw9UVEvFfwNKsTiDc7efIkwcHBl9zG8hNDHL+5JM4wjALrfm/7364v7j7Hjx9PfHx83scnTpwgPDyc1NTU3/0CSsllZmbSsGFD9u3bV7qHGqUAfa3Lh77O5UNf5/Lhi19nwzA4efIk9evX/91tLStAtWvXxuVyFRiZOXToUIERnPNCQ0ML3d7Pz49atWpdcpuL7RMgICCAgICC580EBwf7zH90XxYUFKSvcznR17p86OtcPvR1Lh++9nUu6sCFZddC+/v7ExUVRWJiYr71iYmJxMTEFPqc6OjoAtuvWLGCDh06UKlSpUtuc7F9ioiIiP1YeggsPj6eQYMG0aFDB6Kjo5k1axapqal58/qMHz+e/fv3M2/ePMC84uuNN94gPj6e+++/n6SkJGbPnp3v6q7Ro0fTvXt3pkyZQr9+/Vi8eDGff/45a9asseQ9ioiIiPextADFxcVx9OhRJk2aRFpaGq1bt2bp0qWEh4cDkJaWRmpqat72ERERLF26lLFjx/Lmm29Sv359Xnvttbw5gABiYmJYsGABTz75JE899RSNGzcmISGhWHMABQQE8Ne//rXQw2JSevR1Lj/6WpcPfZ3Lh77O5aOif50tnQdIRERExAq6H4KIiIjYjgqQiIiI2I4KkIiIiNiOCpCIiIjYjgrQ79izZw/Dhg0jIiKCypUr07hxY/7617+SnZ1tdTSfN336dCIiIggMDCQqKorVq1dbHalCmTx5Mh07dqR69erUrVuX/v37s23bNqtjVXiTJ0/G4XAwZswYq6NUSPv37+eee+6hVq1aVKlShXbt2pGcnGx1rAolNzeXJ598Mu/33lVXXcWkSZPweDxWRytVlt8Kw9v9/PPPeDweZs6cSZMmTfjxxx+5//77OX36NFOnTrU6ns9KSEhgzJgxTJ8+na5duzJz5kz69OnDli1bCAsLszpehbBy5UpGjRpFx44dyc3NZcKECcTGxrJlyxaqVq1qdbwKacOGDcyaNYtrrrnG6igV0vHjx+natSs9evRg2bJl1K1bl507d3LFFVdYHa1CmTJlCm+99RbvvvsurVq1YuPGjQwdOpTg4GBGjx5tdbxSo8vgS+DFF19kxowZ7Nq1y+ooPqtz585ERkYyY8aMvHUtWrSgf//+TJ482cJkFdfhw4epW7cuK1eupHv37lbHqXBOnTpFZGQk06dP529/+xvt2rVj2rRpVseqUMaNG8fatWs1WlzGbrnlFkJCQpg9e3beujvuuIMqVarw3nvvWZisdOkQWAlkZGRQs2ZNq2P4rOzsbJKTk4mNjc23PjY2lnXr1lmUquLLyMgA0PduGRk1ahQ333wzN910k9VRKqwlS5bQoUMH7rrrLurWrUv79u35xz/+YXWsCufaa6/liy++YPv27QBs3ryZNWvW0LdvX4uTlS4dAiumnTt38vrrr/PSSy9ZHcVnHTlyBLfbXeAGtSEhIQVuZCulwzAM4uPjufbaa2ndurXVcSqcBQsW8N1337Fhwwaro1Rou3btYsaMGcTHx/PEE0/w7bff8sgjjxAQEMDgwYOtjldhPP7442RkZNC8eXNcLhdut5vnnnuOu+++2+popcq2I0BPP/00Dofjko+NGzfme86BAwfo3bs3d911F8OHD7coecXhcDjyfWwYRoF1Ujoeeughvv/++3z3zZPSsW/fPkaPHs37779PYGCg1XEqNI/HQ2RkJM8//zzt27fnwQcf5P777893KF0uX0JCAu+//z4ffPAB3333He+++y5Tp07l3XfftTpaqbLtCNBDDz3EH/7wh0tu06hRo7zlAwcO0KNHj7ybtkrJ1a5dG5fLVWC059ChQwVGheTyPfzwwyxZsoRVq1bRoEEDq+NUOMnJyRw6dIioqKi8dW63m1WrVvHGG2+QlZWFy+WyMGHFUa9ePVq2bJlvXYsWLVi4cKFFiSqmP//5z4wbNy7vd2SbNm3Yu3cvkydP5t5777U4XemxbQGqXbs2tWvXLtK2+/fvp0ePHkRFRTFnzhycTtsOnJUKf39/oqKiSExMZMCAAXnrExMT6devn4XJKhbDMHj44YdZtGgRX3/9NREREVZHqpBuvPFGfvjhh3zrhg4dSvPmzXn88cdVfkpR165dC0zlsH379rwbaEvpOHPmTIHfcy6XS5fB282BAwe4/vrrCQsLY+rUqRw+fDjvc6GhoRYm823x8fEMGjSIDh065I2qpaamMmLECKujVRijRo3igw8+YPHixVSvXj1vxC04OJjKlStbnK7iqF69eoHzqqpWrUqtWrV0vlUpGzt2LDExMTz//PMMHDiQb7/9llmzZmlUvpTdeuutPPfcc4SFhdGqVStSUlJ4+eWXue+++6yOVroMuaQ5c+YYQKEPuTxvvvmmER4ebvj7+xuRkZHGypUrrY5UoVzs+3bOnDlWR6vwrrvuOmP06NFWx6iQPvnkE6N169ZGQECA0bx5c2PWrFlWR6pwMjMzjdGjRxthYWFGYGCgcdVVVxkTJkwwsrKyrI5WqjQPkIiIiNiOTmYRERER21EBEhEREdtRARIRERHbUQESERER21EBEhEREdtRARIRERHbUQESERER21EBEhEREdtRARIRERHbUQESERER21EBEhEREdtRARIRERHb+X+j3zKP0Ak5dwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# kde图：核密度估计\n",
    "s.plot(kind='hist',bins=6,density=True)\n",
    "s.plot(kind='kde') # 可以结合上面的直方图一起显示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0135b0db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>python</th>\n",
       "      <th>numpy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>0.229402</td>\n",
       "      <td>0.117531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>0.509458</td>\n",
       "      <td>0.260128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>0.419821</td>\n",
       "      <td>0.100751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>0.915925</td>\n",
       "      <td>0.273428</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     python     numpy\n",
       "A  0.229402  0.117531\n",
       "B  0.509458  0.260128\n",
       "C  0.419821  0.100751\n",
       "D  0.915925  0.273428"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='python'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 饼图\n",
    "df = pandas.DataFrame(\n",
    "    data=numpy.random.rand(4,2),\n",
    "    index=list('ABCD'),\n",
    "    columns=['python','numpy']\n",
    ")\n",
    "display(df)\n",
    "df['python'].plot(kind='pie',autopct='%.1f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9987f5d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a9e2fb1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 2.58446887,  1.40873813],\n",
       "       [-0.59321929,  0.58715644],\n",
       "       [ 1.07774678,  0.73442833],\n",
       "       ...,\n",
       "       [-3.01790737, -0.30148841],\n",
       "       [ 0.58360673,  0.2218306 ],\n",
       "       [ 1.29393833,  0.56065901]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='A', ylabel='B'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 散点图\n",
    "data = numpy.random.normal(size=(1000,2)) # normal是正态分布\n",
    "display(data)\n",
    "df = pandas.DataFrame(\n",
    "    data=data,\n",
    "    columns=list('AB')\n",
    ")\n",
    "# df.plot(kind='scatter',x='A',y='B')\n",
    "df.plot.scatter(x='A',y='B') # 这里的意思是使用A这一列作为x轴，使用B这一列作为y轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ca90c60b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.927727</td>\n",
       "      <td>0.665419</td>\n",
       "      <td>0.055461</td>\n",
       "      <td>0.313100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.878381</td>\n",
       "      <td>0.689900</td>\n",
       "      <td>0.762974</td>\n",
       "      <td>0.159252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.229463</td>\n",
       "      <td>0.295069</td>\n",
       "      <td>0.766915</td>\n",
       "      <td>0.258025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.900706</td>\n",
       "      <td>0.142836</td>\n",
       "      <td>0.132786</td>\n",
       "      <td>0.548270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.428659</td>\n",
       "      <td>0.360402</td>\n",
       "      <td>0.124622</td>\n",
       "      <td>0.297080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.910875</td>\n",
       "      <td>0.803316</td>\n",
       "      <td>0.860103</td>\n",
       "      <td>0.177915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.407661</td>\n",
       "      <td>0.974073</td>\n",
       "      <td>0.186711</td>\n",
       "      <td>0.347821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.579198</td>\n",
       "      <td>0.618094</td>\n",
       "      <td>0.649944</td>\n",
       "      <td>0.635406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.037057</td>\n",
       "      <td>0.119492</td>\n",
       "      <td>0.704011</td>\n",
       "      <td>0.158471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.476657</td>\n",
       "      <td>0.657908</td>\n",
       "      <td>0.445782</td>\n",
       "      <td>0.934206</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.927727  0.665419  0.055461  0.313100\n",
       "1  0.878381  0.689900  0.762974  0.159252\n",
       "2  0.229463  0.295069  0.766915  0.258025\n",
       "3  0.900706  0.142836  0.132786  0.548270\n",
       "4  0.428659  0.360402  0.124622  0.297080\n",
       "5  0.910875  0.803316  0.860103  0.177915\n",
       "6  0.407661  0.974073  0.186711  0.347821\n",
       "7  0.579198  0.618094  0.649944  0.635406\n",
       "8  0.037057  0.119492  0.704011  0.158471\n",
       "9  0.476657  0.657908  0.445782  0.934206"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 面积图\n",
    "df = pandas.DataFrame(\n",
    "    data=numpy.random.rand(10,4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "display(df)\n",
    "df.plot.area()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "0d5c7935",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.797471</td>\n",
       "      <td>0.940023</td>\n",
       "      <td>0.010363</td>\n",
       "      <td>0.128871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.424066</td>\n",
       "      <td>0.913250</td>\n",
       "      <td>0.150973</td>\n",
       "      <td>0.585931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.965466</td>\n",
       "      <td>0.593399</td>\n",
       "      <td>0.214028</td>\n",
       "      <td>0.173616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.926605</td>\n",
       "      <td>0.673134</td>\n",
       "      <td>0.072992</td>\n",
       "      <td>0.075594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.584875</td>\n",
       "      <td>0.581920</td>\n",
       "      <td>0.970951</td>\n",
       "      <td>0.295665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.889002</td>\n",
       "      <td>0.782319</td>\n",
       "      <td>0.557345</td>\n",
       "      <td>0.554854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.565998</td>\n",
       "      <td>0.832325</td>\n",
       "      <td>0.014126</td>\n",
       "      <td>0.842086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.087297</td>\n",
       "      <td>0.161220</td>\n",
       "      <td>0.960267</td>\n",
       "      <td>0.776333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.962689</td>\n",
       "      <td>0.364487</td>\n",
       "      <td>0.472314</td>\n",
       "      <td>0.480260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.213062</td>\n",
       "      <td>0.764776</td>\n",
       "      <td>0.714986</td>\n",
       "      <td>0.465285</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A         B         C         D\n",
       "0  0.797471  0.940023  0.010363  0.128871\n",
       "1  0.424066  0.913250  0.150973  0.585931\n",
       "2  0.965466  0.593399  0.214028  0.173616\n",
       "3  0.926605  0.673134  0.072992  0.075594\n",
       "4  0.584875  0.581920  0.970951  0.295665\n",
       "5  0.889002  0.782319  0.557345  0.554854\n",
       "6  0.565998  0.832325  0.014126  0.842086\n",
       "7  0.087297  0.161220  0.960267  0.776333\n",
       "8  0.962689  0.364487  0.472314  0.480260\n",
       "9  0.213062  0.764776  0.714986  0.465285"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 箱型图\n",
    "df = pandas.DataFrame(\n",
    "    data=numpy.random.rand(10,4),\n",
    "    columns=list('ABCD')\n",
    ")\n",
    "display(df)\n",
    "df.plot.box() # 箱型图的意思从上到下是：\n",
    "# 最大值\n",
    "# 75%的位置\n",
    "# 50%的位置\n",
    "# 25%的位置\n",
    "# 最小值\n",
    "# 圆点表示异常值，离群点"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
